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The Florida State University Business Review (or the Business Review) is a student-run law review published at the Florida State University College of Law. The Business Review 's mission is: "Providing a scholarly forum for contemporary legal discourse and to address the issues and concerns transforming the business law community." [1] The ...
The University of Central Florida College of Graduate Studies is an academic college of the University of Central Florida located in Orlando, Florida, United States. The college confers most professional and research master's degrees and doctoral degrees in various fields of study for the university. The departments under which instruction and ...
On August 13, 2018, Section 1051 of the Fiscal Year 2019 John S. McCain National Defense Authorization Act (P.L. 115-232) established the National Security Commission on Artificial Intelligence "to consider the methods and means necessary to advance the development of artificial intelligence, machine learning, and associated technologies to ...
Regulation of algorithms, or algorithmic regulation, is the creation of laws, rules and public sector policies for promotion and regulation of algorithms, particularly in artificial intelligence and machine learning. [1] [2] [3] For the subset of AI algorithms, the term regulation of artificial intelligence is used.
The Florida Institute for Human & Machine Cognition (IHMC) is a not-for-profit research institute of the State University System of Florida, with locations in Pensacola and Ocala, Florida. IHMC scientists and engineers investigate a broad range of topics related to building systems aimed at amplifying and extending human cognitive, physical and ...
The journal was founded by Florida's First District Court of Appeals Judge Scott Makar in 1987, and is run by sixty student members and one staff assistant, with the aid of a faculty advisor. [2] The journal publishes articles , essays , and lectures .
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Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]